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    Piecewise linear neuron modeling
    2.
    发明授权
    Piecewise linear neuron modeling 有权

    公开(公告)号：US09477926B2

    公开(公告)日：2016-10-25

    申请号：US14070679

    申请日：2013-11-04

    申请人： QUALCOMM Incorporated

    发明人： Young Cheul Yoon ,  Ryan Michael Carey ,  Roberto Padovani

    IPC分类号： G06F15/18 ,  G06N3/08 ,  G06N3/04 ,  G06N3/063 ,  G06N99/00

    CPC分类号： G06N3/08 ,  G06N3/04 ,  G06N3/049 ,  G06N3/063 ,  G06N3/082 ,  G06N99/005

    摘要： Methods and apparatus for piecewise linear neuron modeling and implementing artificial neurons in an artificial nervous system based on linearized neuron models. One example method for operating an artificial neuron generally includes determining that a first state of the artificial neuron is within a first region; determining a second state of the artificial neuron based at least in part on a first set of linear equations, wherein the first set of linear equations is based at least in part on a first set of parameters corresponding to the first region; determining that the second state of the artificial neuron is within a second region; and determining a third state of the artificial neuron based at least in part on a second set of linear equations, wherein the second set of linear equations is based at least in part on a second set of parameters corresponding to the second region.

    Simultaneous latency and rate coding for automatic error correction
    3.
    发明授权
    Simultaneous latency and rate coding for automatic error correction 有权

    公开(公告)号：US10282660B2

    公开(公告)日：2019-05-07

    申请号：US14279375

    申请日：2014-05-16

    申请人： QUALCOMM Incorporated

    发明人： Victor Hokkiu Chan ,  Ryan Michael Carey

    IPC分类号： G06N7/02 ,  G06N7/04 ,  G06N7/06 ,  G06N7/08 ,  G06N3/08 ,  G06N3/04

    摘要： Methods and apparatus are provided for identifying environmental stimuli in an artificial nervous system using both spiking onset and spike counting. One example method of operating an artificial nervous system generally includes receiving a stimulus; generating, at an artificial neuron, a spike train of two or more spikes based at least in part on the stimulus; identifying the stimulus based at least in part on an onset of the spike train; and checking the identified stimulus based at least in part on a rate of the spikes in the spike train. In this manner, certain aspects of the present disclosure may respond with short response latencies and may also maintain accuracy by allowing for error correction.